Delete loading script

cultural_heritage_metadata_accuracy.py

@@ -1,80 +0,0 @@
-# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""Annotated dataset to assess the accuracy of the textual description of cultural heritage records"""
-
-import csv
-
-import datasets
-
-
-_CITATION = """\
-@article{Lorenzini2020,
-author = "Matteo Lorenzini and Marco Rospocher and Sara Tonelli",
-title = "{Annotated dataset to assess the accuracy of the textual description of cultural heritage records}",
-year = "2020",
-month = "12",
-url = "https://figshare.com/articles/dataset/Annotated_dataset_to_assess_the_accuracy_of_the_textual_description_of_cultural_heritage_records/13359104",
-doi = "10.6084/m9.figshare.13359104.v1"
-}
-"""
-
-_DESCRIPTION = """\
-The dataset contains more than 100K textual descriptions of cultural items from Cultura Italia (http://www.culturaitalia.it/opencms/index.jsp?language=en), the Italian National Cultural aggregator. 
-Each of the description is labeled either HIGH or LOW quality, according its adherence to the standard cataloguing guidelines provided by Istituto Centrale per il Catalogo e la Documentazione (ICCD). 
-"""
-
-_HOMEPAGE = "https://doi.org/10.6084/m9.figshare.13359104.v1"
-
-_LICENSE = "Creative Commons Attribution 4.0 International"
-
-
-class CulturalHeritageMetadataAccuracy(datasets.GeneratorBasedBuilder):
-    """Annotated dataset to assess the accuracy of the textual description of cultural heritage records"""
-
-    VERSION = datasets.Version("1.1.0")
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "metadata_text": datasets.Value("string"),
-                "label": datasets.ClassLabel(names=["Low_Quality", "High_Quality"]),
-                "source": datasets.Value("string"),
-            }
-        )
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        csv_file = dl_manager.download(
-            "https://figshare.com/ndownloader/files/25796018"
-        )
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "csv_file": csv_file,
-                },
-            ),
-        ]
-
-    def _generate_examples(self, csv_file):
-        with open(csv_file, encoding="utf-8") as f:
-            reader = csv.DictReader(f, fieldnames=["metadata_text", "label", "source"])
-            yield from enumerate(reader)